This module focuses on providing means for exploring Linked Data. In particular, it gives an overview of current visualization tools and techniques, looking at semantic browsers and applications for presenting the data to the end user. Also includes approaches for Linked Data analysis, describing how available data can be synthesized and processed in order to draw conclusions. Contains a number of practical examples with available tools as well as an extensive demo based on analyzing, visualizing and searching data from the music domain.

Keywords: Dashboards, R (programming language), Machine learning, SPARQL, Semantic search, Linked Open Data Cloud, Data Visualization, Information Workbench
Publisher: EUCLID Project
Time required: P4H
Educational use: professionalDevelopment
Educational audience: teacher-educationSpecialist
Interactivity type: mixed

  • Competencies